# Senior or Staff Software Engineer

**Company:** [Writesonic](http://jobs.workable.com/companies/fJr9XSpDbiSqfp4JrMe1zw.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Full-time

[Apply for this job](http://jobs.workable.com/view/c6cfab93-8d69-4ee1-b49a-a1f207d80ff3)

## Description

**ABOUT THE ROLE**

We’re hiring a strong senior IC engineer to own core projects at Writesonic. This is not a management position—it’s a hands-on builder role for someone who can go deep into hard problems, ship fast, and think like a product owner from an overall business, use-case, and customer perspective.You will take vague, high-impact problems and turn them into production systems that directly move revenue and retention. You’ll work across LLM infrastructure, product features, and AI tooling—operating with full autonomy and minimal hand-holding.  

**WHAT YOU’LL DO**

-   Own and ship core AI-powered product features end-to-end—from problem definition to production deployment and measurement.
-   Design, build, and optimize production LLM systems including RAG pipelines, AI agents, embedding workflows, evaluation frameworks, and fine-tuning pipelines.
-   Make architecture and system design decisions across backend services, databases (SQL and vector), APIs, and cloud infrastructure.
-   Dive deep into the business domain (marketing, SEO, GEO, content automation) to make smart product and engineering trade-offs.
-   Connect every engineering decision to user outcomes—ask “does this move revenue or retention?” before “is this technically elegant?”
-   Collaborate directly with founders and cross-functional teams, operating as a product-minded engineer rather than a spec-follower.  
    

**MUST-HAVE QUALIFICATIONSBackend Engineering Fundamentals**

-   Strong proficiency in Python as the primary language.
-   Solid grasp of system design, API design, SQL and vector databases, and cloud infrastructure.

**Production LLM Experience (2+ Years)**

-   Built and shipped real production systems using LLMs, RAG pipelines, agents, embeddings, evals, or fine-tuning.
-   Understands the limits of models—not just the hype. Can clearly articulate the difference between RAG and fine-tuning and when to use each.

**Independent Ownership**

-   Can take a vague problem, define the solution, build it, and measure its impact without hand-holding.
-   Track record of shipping autonomously and iterating based on real user/business feedback.

**Domain-Diving Instinct**

-   Willingness and ability to learn the business domain (marketing, SEO, GEO, content) deeply enough to make smart product calls.
-   This is the rarest trait we screen for—engineers who understand the “why” behind what they build.

**Business-First Thinking**

-   Consistently connects engineering decisions to user outcomes, revenue impact, and retention metrics.
-   Asks “does this move the needle for customers?” before optimizing for technical elegance.

**NICE-TO-HAVE**

-   Open-source contributions or a published technical blog demonstrating depth of thinking.
-   Experience with GEO, SEO, AI search, or content automation systems.
-   Founding engineer or 0-to-1 product experience at an early-stage startup.  
    

**WHO YOU’LL WORK WITH**

You’ll report directly to the Founder, Head of Engineering and work alongside a lean, high-output engineering team. Expect direct access to leadership, fast decision cycles, and zero bureaucracy. If you’ve thrived at places like Trilogy/Crossover, AI-native startups, or high-bar FAANG teams—you’ll feel at home.  

**WHY WRITESONIC**

-   Work on AI products used by millions—not internal tooling or incremental features.
-   Full ownership of high-impact projects from day one.
-   Startup speed with real revenue and real users.
-   Direct collaboration with founders who are technical and product-minded.
-   Competitive compensation aligned with top-tier IC roles in India.